{"id":"https://openalex.org/W2775490555","doi":"https://doi.org/10.32614/rj-2015-002","title":"fanplot: An R Package for Visualising Sequential Distributions","display_name":"fanplot: An R Package for Visualising Sequential Distributions","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2775490555","doi":"https://doi.org/10.32614/rj-2015-002","mag":"2775490555"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2015-002","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2015-002","pdf_url":"https://journal.r-project.org/archive/2015/RJ-2015-002/RJ-2015-002.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://journal.r-project.org/archive/2015/RJ-2015-002/RJ-2015-002.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027599381","display_name":"Guy Abel","orcid":"https://orcid.org/0000-0002-4893-5687"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guy,J. Abel","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027599381"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6024,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86517855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"1","first_page":"15","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.8201810121536255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4214722812175751},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3684462904930115},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.19705680012702942}],"concepts":[{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.8201810121536255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4214722812175751},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3684462904930115},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.19705680012702942}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.32614/rj-2015-002","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2015-002","pdf_url":"https://journal.r-project.org/archive/2015/RJ-2015-002/RJ-2015-002.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},{"id":"pmh:oai:epub.wu-wien.ac.at:5910","is_oa":true,"landing_page_url":"https://epub.wu.ac.at/5910/1/Abel_2015_RJ_fanplot-An-R-Package.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401630","display_name":"ePubWU Institutional Repository (Vienna University of Economics and Business)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102248843","host_organization_name":"Vienna University of Economics and Business","host_organization_lineage":["https://openalex.org/I102248843"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:hub.hku.hk:10722/354071","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/354071","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.32614/rj-2015-002","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2015-002","pdf_url":"https://journal.r-project.org/archive/2015/RJ-2015-002/RJ-2015-002.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2775490555.pdf","grobid_xml":"https://content.openalex.org/works/W2775490555.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W8355001","https://openalex.org/W1533241633","https://openalex.org/W1730150177","https://openalex.org/W1895131631","https://openalex.org/W1980777015","https://openalex.org/W2003041103","https://openalex.org/W2015011409","https://openalex.org/W2085333643","https://openalex.org/W2102386709","https://openalex.org/W2116512828","https://openalex.org/W2129425353","https://openalex.org/W2134239854","https://openalex.org/W2147008642","https://openalex.org/W2156204145","https://openalex.org/W2319794630","https://openalex.org/W2500897968","https://openalex.org/W2571446175","https://openalex.org/W2923159569","https://openalex.org/W2952306821","https://openalex.org/W3098490862","https://openalex.org/W3122820950","https://openalex.org/W3123714266","https://openalex.org/W4254607142","https://openalex.org/W4324258929","https://openalex.org/W4362575130","https://openalex.org/W4399583953","https://openalex.org/W4399638148","https://openalex.org/W6653963957","https://openalex.org/W6987991399"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Fan":[0],"charts,":[1],"first":[2],"developed":[3],"by":[4],"the":[5,26,29,41],"Bank":[6],"of":[7,43,65],"England":[8],"in":[9],"1996,":[10],"have":[11],"become":[12],"a":[13,34,70],"standard":[14],"method":[15],"for":[16,56],"visualising":[17],"forecasts":[18],"with":[19,77],"uncertainty.":[20,78],"Using":[21],"shading":[22],"fan":[23,45],"charts":[24,46],"focus":[25],"attention":[27],"towards":[28],"whole":[30],"distribution":[31],"away":[32],"from":[33,69],"single":[35],"central":[36],"measure.":[37],"This":[38],"article":[39],"describes":[40],"basics":[42],"plotting":[44],"using":[47],"an":[48],"R":[49],"add-on":[50],"package":[51],"alongside":[52],"some":[53],"additional":[54],"methods":[55],"displaying":[57],"sequential":[58],"distributions.":[59],"Examples":[60],"are":[61],"based":[62],"on":[63],"distributions":[64],"both":[66],"estimated":[67],"parameters":[68],"time":[71],"series":[72],"model":[73],"and":[74],"future":[75],"values":[76]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}